@inproceedings{77ca860b90164592acd28c3eb4d93925,
title = "An aligned subtree kernel for weighted graphs",
abstract = "In this paper, we develop a new entropic matching kernel for weighted graphs by aligning depth-based representations. We demonstrate that this kernel can be seen as an aligned subtree kernel that incorporates explicit subtree correspondences, and thus addresses the drawback of neglecting the relative locations between substructures that arises in the R-convolution kernels. Experiments on standard datasets demonstrate that our kernel can easily outperform state-of-the-art graph kernels in terms of classification accuracy.",
author = "Lu Bai and Luca Rossi and Zhihong Zhang and Hancock, \{Edwin R.\}",
note = "{\textcopyright} The authors; 32nd International Conference on Machine Learning , ICML Lille ; Conference date: 06-07-2015 Through 11-07-2015",
year = "2015",
language = "English",
series = " JMLR workshop and conference proceedings",
publisher = "JMLR",
editor = "Francis Bach and David Blei",
booktitle = "Proceedings of the 32nd International Conference on Machine Learning",
}